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A fundamental research of optimization for SCM on ASP

ASP上单片机优化的基础研究

基本信息

批准号：
15510119
负责人：
KUBO Mikio
金额：
$ 2.5万
依托单位：
Tokyo University of Marine Science and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

项目摘要

The purpose of this research is development of the basic technology to provide good solutions of the combinatorial optimization problems needed in supply chain management(SCM) by way of the internet. Especially, we deal with the stock strategy, the safety stock placement, the logistics network design, the lot sizing, the machine scheduling, the vehicle routing the demand forecast, and the revenue management. Our results will be useful for application service providers(ASP) that provide various solution service of supply chain optimization.Our main results are model standardization and development of algorithm that is suitable for application service providers.The model standardization is important in our research, since an application service provider must admit many kind of (and much quantity of) customers (practical problems).Optimization models of our results are applicable in many practical cases and simple to use.Optimization algorithms of our results employ large neighborhood search.Our optimization methods produce high quality solutions of supply chain optimization problem, since large neighborhood search is suitable to distribution computing (for example grid computing).We also develop web-applications based on our research.The trial versions of our web-applications are open to the public on the internet.By our results, it becomes easy for end users of supply chain optimization software to try to use or examine it.

本研究的目的是开发基础技术，通过互联网为供应链管理中所需的组合优化问题提供良好的解决方案。特别是库存策略、安全库存布置、物流网络设计、批量、机器调度、车辆路径、需求预测和收益管理。我们的结果将对提供供应链优化解决方案服务的应用服务提供商(ASP)有帮助。我们的主要结果是模型标准化和适合于应用服务提供商的算法的开发。模型标准化在我们的研究中非常重要，因为应用服务提供商必须接纳多种(和大量)客户(实际问题)。我们的结果的优化模型适用于许多实际案例并且简单易用。我们结果的优化算法使用大邻域搜索。我们的优化方法产生高质量的供应链优化问题的解，由于大型邻域搜索适合于分布式计算(如网格计算)，我们也在此基础上开发了Web应用程序。我们的Web应用程序的试用版本在互联网上向公众开放，根据我们的结果，供应链优化软件的最终用户很容易尝试使用或检查它。